A novel hybrid support vector machine with decision tree for data classification
Mehdi Zekriyapanah Gashti · International Journal of ADVANCED AND APPLIED SCIENCES · 2017
The purpose of this paper is to increase the accuracy of a proposed support vector machine model using hybrid model of SVM and ID3.Then the hybrid approach based on SVM and ID3 tree will be evaluated focusing on analyzing the impact of ID3 on SVM performance.The evaluation process was carried out on the global dataset and Adult reference extracted from KEEL dataset repository.The obtained results demonstrate higher classification accuracy (0.9125) of the proposed model compared to SVM and ID3.